Stanford NLP Group ✓
@stanfordnlp · Stanford, CA, USA · joined 28 Feb 2010
Natural Language Processing/Machine Learning @chrmanning @jurafsky @percyliang @ChrisGPotts @tatsu_hashimoto @MonicaSLam @Diyi_Yang @YejinChoinka @StanfordAILab
Against accounts of the same size
7 posts from the last 90 days, next to the 100K–1M follower range. shown widely, but few of those viewers react.
| Metric | This account | Median for 100K–1M | Ratio |
|---|---|---|---|
| Median views per post | 9 341 | 5 495 | 1.70× |
| Reach (views ÷ followers) | 4.85% | 2.30% | 2.11× |
| Engagement rate | 0.18% | 1.45% | 0.13× |
Others in this range → Compare with another account → How these benchmarks are built →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.45%.
What the audience does
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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